CN106229978B - The pre-judging method and system of platform area low-voltage problem - Google Patents
The pre-judging method and system of platform area low-voltage problem Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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Abstract
The invention discloses the pre-judging method of a kind of area's low-voltage problem, including collect data；Platform area is reduced to the network that is made up of branch-off element and stem elements and network parameter is estimated；Determine each branch service characteristic index；Predict the peak load year by year of each branch；Magnitude of voltage and the low-voltage duration of each branch are calculated, low-voltage number of users is counted；Judge the low-voltage problem order of severity, complete anticipation.The invention also discloses a kind of system for implementing the pre-judging method, including data acquisition module, data warehouse, data processing module and analysis and early warning module；Data acquisition module, which obtains data and stored, arrives data warehouse；Data processing module processing data；Analysis and early warning module is to the low-voltage case study of platform area, prediction and alarms.The pre-judging method and system for this area's low-voltage problem that the present invention is provided, realize the anticipation to low-voltage number of users, low-voltage duration and low voltage value；And method is convenient, it is simple accurate to calculate.
Description
Technical field
The invention belongs to power system automatic field, and in particular to the pre-judging method of a kind of area's low-voltage problem and be
System.
Background technology
Low-voltage problem is the contradiction core of electric service " last one kilometer " problem.Distribute-electricity transformer district directly with user's phase
Even, it is the key node of power transmission.At present, the main region that low-voltage problem occurs all concentrates on platform area and affiliated substantially
User terminal.Strengthen anticipation and management to platform area low-voltage problem to power for improving power supply quality, improving Consumer's Experience, lifting
CSR has very important effect.
It is main from the following aspects development correlative study for low-voltage problem and its control measures both at home and abroad at present：1)
Rural power grids low-voltage problem present situation and the analysis of causes；2) the idle project study of low-voltage is administered；3) voltage and idle operation control
Research；4) Technology of Dynamic Reactive Power Compensation is studied；5) distributed power source power producing characteristics are studied.
However, the research at present to the pre-judging method of platform area low-voltage problem is less, also in the existing monitor and control facility of utilization
Realize to the real-time monitor stages of low-voltage problem, lack to platform area load development path, low-voltage problem Evolution Characteristics and pre-
Sentence the research of method.
The content of the invention
An object of the present invention is that provide one kind automatic accurate can carry out anticipation to low-voltage problem in platform area, and
And calculate the simple, pre-judging method of demand data Shao Tai areas low-voltage problem.
The second object of the present invention is to provide a kind of system for the pre-judging method for realizing described area's low-voltage problem.
The pre-judging method for this area's low-voltage problem that the present invention is provided, comprises the following steps：
S1. socio-economic development, industry development and the data information of operation of power networks of distribute-electricity transformer district are collected；
S2. the data information obtained according to step S1, original low-voltage platform area is reduced to by branch-off element and trunk member
Part constitute network, and to the basic routing line length in network, basic routing line line footpath, branched line length, branched line line footpath,
Network attaching capacity and network peak load are estimated；
S3. the simplification network obtained according to the step S1 data informations obtained and step S2, the use of each branch of determining table area
Family index；
S4. the user's index obtained according to step S3, based on existing area's historical data, using the method for fitting prediction
Predict the peak load year by year of each branch；
S5. according to the peak load year by year and the operational factor of distribute-electricity transformer district of the step S4 each branches predicted, each point is calculated
The magnitude of voltage of branch and low-voltage duration, and low-voltage number of users is counted according to power network code；
S6. low-voltage number of users, low-voltage duration and the magnitude of voltage obtained according to step S5, judges low-voltage problem
The order of severity, completes the anticipation of platform area low-voltage problem.
The pre-judging method of described platform area low-voltage problem also comprises the following steps：
S7. the low-voltage problem order of severity obtained according to step S6, graduation carries out low-voltage problem early warning.
The data information of socio-economic development, industry development and operation of power networks described in step S1, including power supply population, confession
Electric area, each industry GDP, socioeconomic state, trend of industry development data, geographical coordinate, Administrative boundaries, topography and geomorphology number
According to, grid equipment type, grid equipment supplemental characteristic, number of users, user's economic type, customer charge type, user power utilization
Amount, load cultivation period, distribution transforming peak load, distribution transforming outlet side minimum voltage and distribution transforming outlet side ceiling voltage data.
User's index described in step S3, including socioeconomic state, the trend of industry development and load cultivation period.
Described socioeconomic state is classified as follows shown in table 1：
The socioeconomic state of table 1 classification signal table
The described trend of industry development is divided into commercial, industrial production class, agricultural production class and life kind；Business type load
Including commercial power load；Industrial production type load includes cultivation load and irrigates load；Agricultural production type load includes processing
Load and small-sized excavation mining load；Life type load includes resident living power utility load.
Described load cultivation period is classified as follows shown in table 2：
The load cultivation period of table 2 classification signal table
The method using fitting prediction described in step S4 predicts the peak load year by year of each branch, specifically includes as follows
Two steps：
1) it is fitted：In the history data of power network, search socioeconomic state classification, trend of industry development classification and
The load cultivation period platform area consistent with to be predicted area；
2) according to step 1) the obtained historical load development in platform area of search, actual year for obtaining platform area will be searched for
The average value of load growth rate and is increased as the annual gas load growth rate in be predicted area with the annual gas load in be predicted area
The load development of to be predicted area year by year is predicted based on rate；
The judgement low-voltage problem order of severity described in step S6, is according to low-voltage number of users, low-voltage duration
Totally three dimensions are judged with magnitude of voltage；The basis for estimation of three dimensions is as shown in table 3 below：
Three dimension criterions signal table of the low-voltage order of severity of table 3
And according to the criterion of top, most the order of severity of low-voltage problem is divided into following 12 rank, and level at last
Not more rearward, show that low-voltage problem is more serious：Sporadicly-in short-term-slight, fragmentary-in short-term-moderate, fragmentary-in short-term-severe, zero
During star-long-it is slight, fragmentary-long when-moderate, it is fragmentary-long when-it is severe, universal-in short-term-slight, universal-in short-term-moderate, general
All over-in short-term-severe, it is universal-long when-it is slight, universal-long when-moderate and it is universal-long when-severe.
Low-voltage warning grade described in step S7, is specifically divided into five grades：It is green, blueness, yellow, orange and red
Color；Power consumer is green grade without low-voltage problem；Sporadicly-in short-term-slight, fragmentary-in short-term-moderate, it is fragmentary-long when-it is light
It is blue scale to spend low-voltage problem；Sporadicly-in short-term-severe, it is fragmentary-long when-moderate, universal-in short-term-slight low-voltage problem
For yellowness ratings；Generally-in short-term-moderate, universal-in short-term-severe, it is universal-long when-slight low-voltage problem is orange grade；
Sporadicly-it is long when-severe, it is universal-long when-moderate and it is universal-long when-severe low-voltage problem is red scale.
It is a kind of present invention also offers it is a kind of be used for implement above-mentioned area's low-voltage problem pre-judging method system, including
Data acquisition module, data warehouse, data processing module and analysis and early warning module；Data acquisition module is used for in power system
The data interaction of subsystems provides data-interface and service, and by required for the low-voltage problem anticipation in be predicted area
Data Cun Chudao data warehouses；Data processing module is used to handle the data of data warehouse storage, and by after processing
Data transfer is to analysis and early warning module；Analysis and early warning module is used to, according to obtained data, low-voltage is carried out to be predicted area
The analysis and anticipation of problem, and there is platform area low-voltage problem alarm.
The anticipation system of described platform area low-voltage problem also includes visualization processing module, and visualization processing module is used for
The analysis anticipation result of analysis and early warning module is obtained, Bing Tai areas occur carrying out in described area at visualization during low-voltage problem
Reason, so as to remind utility personnel.
The pre-judging method and system for this area's low-voltage problem that the present invention is provided, by user's economic society shape
The specificity analysises such as state, the trend of industry development, load cultivation period, platform area load development model is realized using platform area user personality
Fitting, peak load is predicted year by year in Bing Duitai areas, is finally realized to low-voltage number of users, low-voltage duration and low electricity
The anticipation of pressure value；The inventive method simple operation, calculate simple and fast and accurate, being capable of classified estimation platform area low-voltage problem
And anticipation, early warning are carried out to problem in time.
Brief description of the drawings
Fig. 1 is the method flow diagram of the inventive method.
Fig. 2 is the functional block diagram of present system.
Embodiment
It is the method flow diagram of the inventive method as shown in Figure 1：This area's low-voltage problem that the present invention is provided it is pre-
Sentence method, comprise the following steps：
S1. socio-economic development, industry development and the data information of operation of power networks of distribute-electricity transformer district are collected；Including power supplier
Mouth, powering area, each industry GDP, socioeconomic state, trend of industry development data, geographical coordinate, Administrative boundaries, landform
Looks data, grid equipment type, grid equipment supplemental characteristic, number of users, user's economic type, customer charge type, user
Power consumption, load cultivation period, distribution transforming peak load, distribution transforming outlet side minimum voltage and distribution transforming outlet side ceiling voltage data.
S2. the data information obtained according to step S1, original low-voltage platform area is reduced to by branch-off element and trunk member
Part constitute network, and to the basic routing line length in network, basic routing line line footpath, branched line length, branched line line footpath,
Network attaching capacity and network peak load are estimated；
S3. the simplification network obtained according to the step S1 data informations obtained and step S2, the use of each branch of determining table area
Family index；User's index includes socioeconomic state, the trend of industry development and load cultivation period：
Socioeconomic state is classified as follows shown in table 1：
The socioeconomic state of table 1 classification signal table
The trend of industry development is divided into commercial, industrial production class, agricultural production class and life kind；Business type load includes business
Industry power load；Industrial production type load includes cultivation load and irrigates load；Agricultural production type load include machining load and
Small-sized excavation mining load；Life type load includes resident living power utility load.
Load cultivation period is classified as follows shown in table 2：
The load cultivation period of table 2 classification signal table
S4. the user's index obtained according to step S3, based on existing area's historical data, using the method for fitting prediction
Predict the peak load year by year of each branch；
Specifically include following two steps：
1) it is fitted：In the history data of power network, search socioeconomic state, the trend of industry development and load are cultivated
Cycle the platform area similar to be predicted area, similar condition is socioeconomic state classification, trend of industry development classification and negative
Lotus cultivation period is consistent；
2) according to step 1) the historical load development in platform area that search is obtained, directly take search to obtain the reality in platform area
The average value of annual gas load growth rate as to be predicted area annual gas load growth rate, it is and right based on the load growth rate
The load development of to be predicted area year by year is predicted；
S5. according to the peak load year by year and the operational factor of distribute-electricity transformer district of the step S4 each branches predicted, each point is calculated
The magnitude of voltage of branch and low-voltage duration, and low-voltage number of users is counted according to power network code；
S6. low-voltage number of users, low-voltage duration and the magnitude of voltage obtained according to step S5, judges low-voltage problem
The order of severity, completes the anticipation of platform area low-voltage problem；According to low-voltage number of users, low-voltage duration and magnitude of voltage totally three
Individual dimension is judged；The basis for estimation of three dimensions is as shown in table 3 below：
Three dimension criterions signal table of the low-voltage order of severity of table 3
And according to the criterion of top, most the order of severity of low-voltage problem is divided into following 12 rank, and level at last
Not more rearward, show that low-voltage problem is more serious：Sporadicly-in short-term-slight, fragmentary-in short-term-moderate, fragmentary-in short-term-severe, zero
During star-long-it is slight, fragmentary-long when-moderate, it is fragmentary-long when-it is severe, universal-in short-term-slight, universal-in short-term-moderate, general
All over-in short-term-severe, it is universal-long when-it is slight, universal-long when-moderate and it is universal-long when-severe.
S7. the low-voltage order of severity obtained according to step S6, graduation carries out low-voltage problem early warning.
It is specifically divided into five grades：Green, blueness, yellow, orange and red；Power consumer is green without low-voltage problem
Grade；Sporadicly-in short-term-slight, fragmentary-in short-term-moderate, it is fragmentary-long when-slight low-voltage problem is blue scale；Sporadicly-short
When-severe, it is fragmentary-long when-moderate, universal-in short-term-slight low-voltage problem is yellowness ratings；It is generally-in short-term-moderate, general
All over-in short-term-severe, it is universal-long when-slight low-voltage problem is orange grade；Sporadicly-it is long when-severe, it is universal-long when-moderate
With it is universal-long when-severe low-voltage problem is red scale.
It is illustrated in figure 2 the functional block diagram of present system：Anticipation side for implementing above-mentioned area's low-voltage problem
The system of method, including data acquisition module, data warehouse, data processing module, analysis and early warning module and visualization processing module；
Data acquisition module is used to provide data-interface and service for the data interaction of subsystems in power system, and will be to be predicted
Data Cun Chudao data warehouses required for the low-voltage problem anticipation in platform area；Data processing module is used for data warehouse storage
Data handled, and by the data transfer after processing to analysis and early warning module；Analysis and early warning module is used for what basis was obtained
Data, the analysis and anticipation of low-voltage problem are carried out to be predicted area, and platform area low-voltage problem alarm are occurring；Visually
Changing processing module is used to obtaining the analysis anticipation result of analysis and early warning module, by described when low-voltage problem occur in Bing Tai areas
Area carries out visualization processing, so as to remind utility personnel.
Claims (10)
1. the pre-judging method of a kind of area's low-voltage problem, comprises the following steps：
S1. socio-economic development, industry development and the data information of operation of power networks of distribute-electricity transformer district are collected；
S2. the data information obtained according to step S1, original low-voltage platform area is reduced to by branch-off element and stem elements structure
Into network, and to the basic routing line length in network, basic routing line line footpath, branched line length, branched line line footpath, network
Attaching capacity and network peak load are estimated；
S3. the simplification network obtained according to the step S1 data informations obtained and step S2, the user of each branch of determining table area refers to
Mark, described user's index, including socioeconomic state, the trend of industry development and load cultivation period；
S4. the user's index obtained according to step S3, based on existing area's historical data, is predicted using the method for fitting prediction
The peak load year by year of each branch；Specifically include following two steps：
1) it is fitted：In the history data of power network, search socioeconomic state classification, trend of industry development classification and load
The cultivation period platform area consistent with to be predicted area；
2) according to step 1) the obtained historical load development in platform area of search, the actual annual gas load that obtains platform area will be searched for
The average value of growth rate as to be predicted area annual gas load growth rate, and to be predicted based on the load growth rate
The load development of area year by year is predicted；
S5. according to the peak load year by year and the operational factor of distribute-electricity transformer district of the step S4 each branches predicted, each branch is calculated
Magnitude of voltage and low-voltage duration, and low-voltage number of users is counted according to power network code；
S6. low-voltage number of users, low-voltage duration and the magnitude of voltage obtained according to step S5, judges that low-voltage problem is serious
Degree, completes the anticipation of platform area low-voltage problem.
2. the pre-judging method of according to claim 1 area's low-voltage problem, it is characterised in that also comprise the following steps：
S7. the low-voltage problem order of severity obtained according to step S6, graduation carries out low-voltage problem early warning.
3. the pre-judging method of according to claim 1 or 2 area's low-voltage problem, it is characterised in that the warp described in step S1
The data information of Ji social development, industry development and operation of power networks, including power supply population, powering area, each industry GDP, economy
Social pattern, trend of industry development data, geographical coordinate, Administrative boundaries, topography and geomorphology data, grid equipment type, power network are set
Standby supplemental characteristic, number of users, user's economic type, customer charge type, user power utilization amount, load cultivation period, distribution transforming are most
Big load, distribution transforming outlet side minimum voltage and distribution transforming outlet side ceiling voltage data.
4. the pre-judging method of according to claim 1 area's low-voltage problem, it is characterised in that described economic society shape
Being classified as follows for state is shown：
Socioeconomic state is divided into flourishing class, development class and less-developed class；
Flourishing class：Resident's per capita disposable income is higher than 2 times of place county domain resident's per capita disposable income；Or year electricity consumption per family
Amount is more than 800 kilowatt hours；
Develop class：Resident's per capita disposable income is higher than 0.6 times of place county domain resident's per capita disposable income and less than place
2 times of county domain resident's per capita disposable income；Year power consumption is more than 400 kilowatt hours and is less than 800 kilowatt hours per family；
Less-developed class：Resident's per capita disposable income is less than 0.6 times of place county domain resident's per capita disposable income；Or year per family
Power consumption is less than 400 kilowatt hours.
5. the pre-judging method of according to claim 1 area's low-voltage problem, it is characterised in that described industry development becomes
Gesture is divided into commercial, industrial production class, agricultural production class and life kind；Business type load includes commercial power load；Industry is raw
Producing type load includes cultivation load and irrigates load；Agricultural production type load includes machining load and small-sized excavation mining load；
Life type load includes resident living power utility load.
6. the pre-judging method of according to claim 1 area's low-voltage problem, it is characterised in that described load cultivates week
Being classified as follows for phase is shown：
Load cultivation period is divided into introduction period, growth stage, maturity period and decline phase；
Introduction period：User's production time is less than 1 year；And maximum load rate be less than apply to install the 30% of capacity；And annual utilization hours
Less than 400；
Growth stage：Maximum load rate, which is more than, applies to install the 40% of capacity；And annual utilization hours are more than 800；
Maturity period：User's production time is more than 1 year；And maximum load rate be less than apply to install the 60% of capacity；And annual utilization hours
Less than 1000；
Decline phase：User's production time is more than 5 years；And maximum load rate be less than apply to install the 30% of capacity；And annual utilization hours
Less than 400.
7. the pre-judging method of according to claim 1 or 2 area's low-voltage problem, it is characterised in that sentencing described in step S6
The disconnected low-voltage problem order of severity, is that totally three dimensions are carried out according to low-voltage number of users, low-voltage duration and magnitude of voltage
Judge；The basis for estimation of three dimensions is as follows：
Dimension includes low-voltage number of users, low-voltage duration and magnitude of voltage altogether；
Under low-voltage number of users dimension, rank includes fragmentary and universal；Fragmentary rank is that low-voltage number of users is less than platform area user
The 10% of sum；Universal rank is that low-voltage number of users is more than the 10% of platform area total number of users；
Under low-voltage duration dimension rank include in short-term with it is long when；Rank is less than to there is low voltage condition year in short-term
120 hours；Rank is more than 120 hours to there is low voltage condition year when long；
Rank includes slight, moderate and severe under magnitude of voltage dimension；It is slight to be more than the 80% of rated voltage for magnitude of voltage and be less than
The 90% of rated voltage；Moderate is that magnitude of voltage is more than the 70% of rated voltage and less than the 80% of rated voltage；Severe is voltage
70% of value less than rated voltage；
And according to the criterion of top, most the order of severity of low-voltage problem is divided into following 12 rank at last, and rank is got over
Rearward, show that low-voltage problem is more serious：Sporadicly-in short-term-slight, fragmentary-in short-term-moderate, fragmentary-in short-term-severe, it is fragmentary-
When long-it is slight, fragmentary-long when-moderate, it is fragmentary-long when-it is severe, universal-in short-term-slight, universal-in short-term-moderate, universal-short
When-severe, it is universal-long when-it is slight, universal-long when-moderate and it is universal-long when-severe.
8. the pre-judging method of according to claim 7 area's low-voltage problem, it is characterised in that the low electricity described in step S7
Warning grade is pressed, five grades are specifically divided into：Green, blueness, yellow, orange and red；Power consumer is without low-voltage problem
Green grade；Sporadicly-in short-term-slight, fragmentary-in short-term-moderate, it is fragmentary-long when-slight low-voltage problem is blue scale；Zero
Star-in short-term-severe, it is fragmentary-long when-moderate, universal-in short-term-slight low-voltage problem is yellowness ratings；Generally-in short-term-in
Degree, universal-in short-term-severe, it is universal-long when-slight low-voltage problem is orange grade；Sporadicly-it is long when-severe, universal-it is long
When-moderate and it is universal-long when-severe low-voltage problem is red scale.
9. a kind of system for being used to implement the pre-judging method of the platform area low-voltage problem described in one of claim 1~8, including number
According to acquisition module, data warehouse, data processing module and analysis and early warning module；Data acquisition module is used for be each in power system
The data interaction of individual subsystem provides data-interface and service, and by the number required for the low-voltage problem anticipation in be predicted area
Data warehouse is arrived according to storage；Data processing module is used to handle the data of data warehouse storage, and by the number after processing
According to being transferred to analysis and early warning module；Analysis and early warning module is used for according to obtained data, and carrying out low-voltage to be predicted area asks
The analysis and anticipation of topic, and there is platform area low-voltage problem alarm.
10. system according to claim 9, it is characterised in that also including visualization processing module, visualization processing module
Analysis anticipation result for obtaining analysis and early warning module, Bing Tai areas occur carrying out in described area visually during low-voltage problem
Change is handled, so as to remind utility personnel.
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| CN109245109B (en) * | 2018-10-10 | 2021-09-21 | 广州德昊电力科技有限公司 | Power supply low-voltage early warning system and method |
| CN111030126B (en) * | 2019-12-24 | 2022-06-21 | 广西电网有限责任公司电力科学研究院 | Load-voltage sensitivity-based low-voltage early warning method for power distribution network |
| CN112072789B (en) * | 2020-09-03 | 2022-04-29 | 国网湖南省电力有限公司 | Low-voltage transformer area identification method, maintenance method and early warning method thereof |
| CN113489016A (en) * | 2021-08-09 | 2021-10-08 | 广东电网有限责任公司 | Power distribution network transformer area low-voltage severity evaluation method and system |
| CN113902148B (en) * | 2021-12-03 | 2022-04-05 | 广东电网有限责任公司东莞供电局 | Load detection method and device of transformer, computer equipment and storage medium |
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